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- Analyse the current practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data and Analytics Services.
- Provide technical and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modelling, database design & implementation, data visualization, and advanced analytics.
- Collaborate with project managers in estimating technical tasks and deliverables.
- Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
- Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
- Bachelor's degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
- Min. 10 years of experience in Data Warehousing, Data Analytics, Realtime data integration or Business Intelligence.
- Min. 3 years of experience as a Data Architect, Solution Architect or Technical Lead.
- Min. 2 years of experience in architecting data solutions on Azure cloud platform.
- Knowledge in both traditional and modern data architecture and processing concepts such as SQL, Hadoop, Spark, Kafka and business analytics.
- Experience in technology skillsets:
- Azure database platforms e.g. Azure SQL database, Azure Databricks, Azure data Lake Gen2
- Azure data integration tools e.g. Azure Synapse , Azure Data factory , Azure Event Hub.
- Data visualisation tools e.g. QlikView, Power BI
- Possess architectural sense in connecting data sources, data visualization, structured and unstructured data.
- Knowledge in financial sector technologies, products and services
- Able to multi-task in a challenging technical environment to deliver high quality solutions
- A meticulous team player who has proactive and positive attitude.
- Excellent communication, interpersonal and presentation skills.
Goel Navneet License No.: 02C3423 Personnel Registration No.: R1982194
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Attention To Detail
- Azure Data Factory
- Azure Data Lake
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